检索CommentThreads列表时，出现processingFailure错误(400) [英] processingFailure error (400) while retrieving CommentThreads list
本文介绍了检索CommentThreads列表时，出现processingFailure错误(400)的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我试图通过Python迭代/分页检索视频的所有评论.我已使用开发人员密钥正确登录
I a trying to retrieve all the comments of a video via Python iteration/paging. I am logged correctly with a developer key
import googleapiclient.discovery as gg
import googleapiclient.errors as gge
yt = gg.build(api_service_name= 'youtube', api_version= 'v3', developerKey = M_KEY)
comments= []
page= ''
while True:
request = yt.commentThreads().list(
part= "snippet,replies",
order= "relevance",
maxResults= 100,
pageToken= page,
textFormat= "plainText",
videoId= video['id']
# video is a static dictionary i've saved outside the script
)
try:
response = request.execute()
page= response['nextPageToken']
comments.extend(response['items'])
print('Comments extended')
except KeyError:
# there are no more pages
print('Iteration ended')
break
except gge.HttpError as error:
print('HTTP error:', error.__dict__['resp']['status'])
我期望它要做的是迭代注释页面，直到response['nextPageToken']抛出KeyError，这意味着不再有注释页面.取而代之的是，执行会完美地进行了十几次迭代(最好)，然后开始抛出所说的processingFailure错误，内容如下:
What i'm expecting it to do is iterate the pages of comments until the response['nextPageToken'] throws a KeyError, meaning that there are no more pages of comments. Instead, what happens is that the execution goes flawlessly for a dozen of iteration (at best) then it starts to throw said processingFailure error which content looks like this:
{
"error": {
"errors": [
{
"domain": "youtube.commentThread",
"reason": "processingFailure",
"message": "The API server failed to successfully process the request. While this can be a transient error, it usually indicates that the requests input is invalid. Check the structure of the <code>commentThread</code> resource in the request body to ensure that it is valid.",
"locationType": "other",
"location": "body"
}
],
"code": 400,
"message": "The API server failed to successfully process the request. While this can be a transient error, it usually indicates that the requests input is invalid. Check the structure of the <code>commentThread</code> resource in the request body to ensure that it is valid."
}
}
我试图同时记录page和videoId，以确保它们都没错，但它们都是有效的.当发生该错误但没有任何变化时，我也尝试了time.sleep()长达15分钟.
这是发生错误时以json格式发出的请求，已通过request.to_json()捕获，这要感谢 @ stvar 建议:
I have tried to log both the page and the videoId to ensure nothing went wrong with them but they're both valid. I've also tried to time.sleep() for up to 15 minutes when that error occurs but nothing changes.
This is the request in json format at the time of the error, catched using request.to_json(), thanks to @stvar for suggesting it:
{
"uri": "https://www.googleapis.com/youtube/v3/commentThreads",
"method": "POST",
"body": "part=snippet%2Creplies&order=relevance&maxResults=100&pageToken=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&textFormat=plainText&videoId=CJ_GCPaKywg&key=m_developer_key&alt=json",
"headers": {
"accept": "application/json",
"accept-encoding": "gzip, deflate",
"user-agent": "google-api-python-client/1.7.9 (gzip)",
"content-length": "5730",
"x-http-method-override": "GET",
"content-type": "application/x-www-form-urlencoded"
},
"methodId": "youtube.commentThreads.list",
"resumable": null,
"response_callbacks": [],
"_in_error_state": false,
"body_size": 0,
"resumable_uri": null,
"resumable_progress": 0
}
注意::我需要在请求中添加order= "relevance"，因为我主要需要获得投票最多的评论.
NOTE: I need to have order= "relevance" in my request because I primarly need the most voted comments.
无处可寻，我希望你能帮助我
An answer is nowhere to be found, I hope you can help me
推荐答案
问题是，我们无法真正检索每个视频的全部评论.
Issue is, we can't really retrieve all the comments of every video.
https://issuetracker.google.com/issues/134912604
我们目前不支持在整个流中进行分页.因此，无法检索该视频的所有1000+条CommentThreads
https://issuetracker.google.com/issues/134912604
We currently don't support paging through the whole stream. So there's no way to retrieve all the 1000+ commentThreads that you have for that video
这篇关于检索CommentThreads列表时，出现processingFailure错误(400)的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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